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Volumn , Issue , 2010, Pages

Structured sparsity-inducing norms through submodular functions

Author keywords

[No Author keywords available]

Indexed keywords

CONVEX OPTIMIZATION; SET THEORY;

EID: 85162027958     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (141)

References (27)
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    • Proximal methods for sparse hierarchical dictionary learning
    • R. Jenatton, J. Mairal, G. Obozinski, and F. Bach. Proximal methods for sparse hierarchical dictionary learning. In Proc. ICML, 2010.
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    • Jenatton, R.1    Mairal, J.2    Obozinski, G.3    Bach, F.4
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    • Signal reconstruction from noisy random projections
    • J. Haupt and R. Nowak. Signal reconstruction from noisy random projections. IEEE Transactions on Information Theory, 52(9):4036-4048, 2006.
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    • Springer
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    • Edmonds, J.1
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    • 0001079995 scopus 로고
    • Concavity of certain maps on positive definite matrices and applications to hadamard products
    • T. Ando. Concavity of certain maps on positive definite matrices and applications to hadamard products. Linear Algebra and its Applications, 26:203-241, 1979.
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    • Ando, T.1
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    • Some comments on Cp
    • C. L. Mallows. Some comments on Cp. Technometrics, 15(4):661-675, 1973.
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    • 77955685516 scopus 로고    scopus 로고
    • Sparse estimation using general likelihoods and non-factorial priors
    • D.Wipf and S. Nagarajan. Sparse estimation using general likelihoods and non-factorial priors. In Adv. NIPS, 2009.
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    • Wipf, D.1    Nagarajan, S.2
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.